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DeepL Blog

At DeepL, we power global communication through cutting-edge artificial intelligence solutions, including our core product, the DeepL Translator. Here on the DeepL Blog, we'll keep you updated on the latest developments in AI, our product offerings, and how we enable seamless communication—wherever people do business.

Further information about DeepL and our history can be found on our press page.

DeepL API strengthens security and flexibility with multiple API keys

What you need to know about multiple API keys:

  • Allow for greater independence and flexibility for DeepL API users
  • Increase security for situations where an API key is compromised
  • Improves API user experience with no disruption to existing workflows


Have you ever wished for more than one API key for your DeepL API subscription? Well, wish granted! We’ve officially launched support for multiple API keys in DeepL API. 

Previously, DeepL API users were limited to a single API key for all their development workflows. But you asked for more—and we heard you. Keep reading to find out what this exciting update means for you and your team.

Why are multiple API keys important to have?

Illustration showing secure API keys and usage patterns in different colors

Flexibility

As one of our most-requested features, this launch provides your team with unprecedented flexibility and allows you to create independent keys for all your needs. 

Unlike a single API key being used for local, test, staging, and production environments, this update allows you to create individual keys for each environment. Now, it’s easy to keep each key completely independent. 

Usage insight

Does your organization have a number of software engineers, development teams, or even freelancers working with DeepL API? If so, you can assign each one their own specific API key. 

This way, you can manage and report on individual keys to gain deeper insights into your API usage.

Security

This update also has a big impact on security. In the unfortunate case that a key is compromised, you now have a solid safety net in place.

For example, when a single key is used in multiple workflows, there’s always a risk it could be accidentally shared with unauthorized users. With this new functionality, you can create multiple keys and remove them as needed. This causes little to no disruption to your existing workflows, keeping your developers and users happy.

But wait—what is an API key?

Illustration showing four new API keys for secure authorization

While many of you know exactly what an API key is, others may not be as familiar with the term. 

First, there’s the “API” part, which stands for application programming interface. An API is a type of software that allows two or more applications to communicate. Next, we have the “key”. In this context, the key is a code or unique identifier used to authorize a developer, user, or application.

Basically, without the key, you can’t access the API. 

Why are API keys important?

For companies that prioritize proper user authentication and security, it makes sense to use API keys. You don’t want just anyone to be able to access your API.

And as mentioned earlier, using multiple API keys is vital for flexibility, usage insight, and increased security. Think of it this way: having one security guard for your business is nice. But depending on its size and complexity, one security guard might not be enough. You need multiple.

In short, having multiple API keys allows your organization to: 

  • Foster greater independence and flexibility
  • Gather helpful usage insight 
  • Enhance API security 

Ready to streamline your workflows with multiple API keys?

Multiple API keys make a world of difference for busy, security-minded companies—and we’re so excited to share this update.

Head over to your DeepL account to start powering your integrations with multiple API keys today!

Meet DeepL: how I advanced my career at DeepL

In today’s rapidly changing world, embarking on a new role can be an exciting opportunity to explore new possibilities. It requires a growth mindset, resilience, and a willingness to embrace new challenges.

Recently, Segolene Al Daccache, part of our Employer Branding team, sat together with Margot Novo to talk about her career journey at DeepL and the valuable lessons she learned along the way. From her initial position as a Marketing Operations Associate to her current role as a Communications Project Manager, Margot's path is a narrative of personal growth, adaptability, and the importance of aligning with a company's ethos.

Her journey is inspiring and highlights DeepL's strong commitment to nurturing talent and fostering a culture that values innovation, quality, and its people. Now, let’s dive in!


Could you please introduce yourself and your role at DeepL. Why did you decide to join us? 

With much pleasure! My name is Margot Novo, and I’m currently a Communications Project Manager at DeepL. I coordinate strategic communication initiatives, with a strong focus on maintaining a positive public image. Collaborating with diverse teams, I ensure that our messages align with our brand identity and resonate effectively with our target audience.

Through careful management of project timelines, budgets, and evaluations, I contribute to improving our public relations efforts, consistently helping stakeholders align effectively. Joining DeepL was a natural and exciting decision for me, driven by a combination of genuine passion for the product and with my vision of an ideal working environment. DeepL's innovation, quality, and impact on the world had captivated me long before the prospect of employment.

How has your role evolved over time?

This is a great question. I actually joined DeepL as Marketing Operations associate, but during the first week there was a project in the PR team that I helped support.

After less than one month, we decided that I would move to the PR team as PR Manager. Last December, I had the opportunity to grow my role within the team and that’s why I’m now a Communications Project Manager.

Reflecting on your career at DeepL, can you highlight a significant achievement or milestone that stands out in terms of your professional growth?

A significant achievement in my career was successfully managing the rapid expansion of our operations across multiple regions. Simultaneously managing the challenges and an effective path to growth, I implemented streamlined communication channels and collaborative frameworks.

Through careful planning and adaptation to local market nuances, we not only met but exceeded targets in terms of market share, revenue, and customer satisfaction. This achievement underscores my ability to navigate complexities, demonstrate adaptability, and foster cross-functional collaboration in dynamic and challenging scenarios.

DeepL values quality and long-term thinking. Can you share a specific example from your experience where these values played a crucial role in a project or decision?

When managing communication efforts for DeepL’s expansion into new markets, quality and long-term thinking were pivotal in shaping our approach. Instead of rushing to generate immediate attention, we invested time in understanding the local culture, preferences, and regulatory landscape.

This research informed our messaging and PR strategies, ensuring they resonated authentically with new audiences. Emphasizing quality over quick wins, we prioritized building relationships with local influencers and media outlets, aiming for sustained positive coverage rather than fleeting attention.

Navigating role transitions is a significant move. How did you manage it, and what advice do you offer for career growth within DeepL?

Navigating role transitions in my career involved strategic planning, continuous learning, and effective communication. When faced with a new role, I immersed myself in understanding the responsibilities, looked to mentors for guidance, and acquired relevant skills.

Transparent communication with current and new teams helped manage expectations and foster collaboration. Actively pursuing training opportunities enhanced my skills and demonstrated a commitment to personal and professional growth.

For those looking to grow within the company, my advice is to seek out new challenges, express interest in additional responsibilities, maintain a learning mindset, stay informed about industry trends, and actively build a professional network while remaining open to mentorship. Successful career growth requires a proactive and adaptable approach, a commitment to learning, and effective communication.

How has DeepL supported your continuous learning and development? Any specific opportunities or resources that stood out in your career progression?

My team lead has been a crucial support for my continuous learning and development within DeepL. Her guidance and mentorship have provided valuable insights into navigating various challenges and seizing opportunities for growth.

Additionally, DeepL's commitment to employee development is evident through the provision of a learning budget. I've actively taken advantage of this resource to enroll in training programs and acquire certifications that align with my career goals. This proactive approach, combined with the support from my team lead, has significantly contributed to my career progression. 

Reflecting on challenges, could you please share an experience with us that tested your abilities and what you learned from it.

A notable challenge in my career was the introduction of a new language in a complex situation with tight deadlines and unforeseen obstacles. The pressure was intense, and the balance between various aspects, from coordinating teamwork to managing stakeholder expectations, was exceptionally demanding.

This experience taught me the importance of adaptability and resilience. I learned to prioritize tasks, delegate effectively, and maintain clear lines of communication in stressful situations.

How has teamwork shaped your experience at DeepL, particularly during role transitions?

Teamwork has played a key role in my work experience, especially during role transitions. When transitioning to a new role, collaboration with my team was essential for a smooth integration. Through open communication, I was able to tap into the collective knowledge and experience of my colleagues and gain insights that helped me understand the nuances of my new responsibilities.

Looking back, are there projects or initiatives that you consider turning points in your career within DeepL?

Stepping up during a shortage of team members proved to be a transformative turning point in my career. Faced with the challenge of limited resources, I assumed additional responsibilities and played a pivotal role in ensuring the success of key projects.

This experience not only proved my ability to handle pressure and deliver results in challenging circumstances, but also demonstrated a strong sense of accountability and commitment to the team's success. The proactive approach and successful project outcomes were recognized within the organization, leading to increased trust and accountability.

This turning point was instrumental in facilitating a change in my position to Project Manager, underscoring the impact that taking initiative and going above and beyond in the face of challenges has on career growth and advancement.

What personal values align well with DeepL's culture, and how have they influenced your career path within the company?

I personally value caringness, which aligns well with the culture of DeepL and has profoundly influenced my career path within the company. This shared commitment to caring for others has been a driving force behind my approach to teamwork and my overall work ethic.

Embracing DeepL’s  "we care" value has not only fostered a positive and supportive work environment, but has also guided my decision-making processes, ensuring a focus on empathy, collaboration, and genuine concern for the well-being of my colleagues. 

Margot, it's truly inspiring to hear about your journey and the positive ripple effects your transition has had on both you and your team's growth. Thank you for sharing your experiences with us.

I'm thankful for the chance I've been given and the support I've received. I'm excited to keep growing in my current position and to keep contributing towards DeepL's achievements.


This story beautifully illustrates how embracing change, setting priorities, seeking support, and building teamwork can guide us through career transitions and leave us stronger in the end.

At DeepL, we believe that—although the journey may have its hurdles—the rewards are deeply meaningful and foster growth and new learning for every team member. If this story resonates with you and you're considering a dynamic career change, we invite you to connect with us on LinkedIn and discover the experiences that await you #InsideDeepL!

How HubSpot tackled localization and scaled content production with DeepL

Want to learn more about the role of machine translation in global marketing and discover localization best practices? Download the full report. 


What you need to know about HubSpot and DeepL: 

  • CRM titan HubSpot owns over 75,000 web assets, many of which require real-time localization 
  • Scaling localization efforts to publish multilingual content quickly can be difficult 
  • HubSpot has created an organized, streamlined localization process with the help of machine translation services, like DeepL 

Does your business operate worldwide? If so, how do you appeal to varied, international audiences? In today's globalized world, many businesses face a similar challenge: the need to communicate effectively with customers across languages, countries, and cultures. Here, localization presents a practical solution.  

By making content available in multiple languages, localization helps companies connect with diverse audiences and succeed internationally. To explore the impact of localization on businesses, DeepL conducted research, resulting in our report: The state of translation and localization in 2023-2024: insights, challenges, and opportunities. The research found that 75% of marketers in the U.S., Germany, France, and Japan believe localized content significantly boosts customer engagement.

HubSpot, a leading provider of customer relationship management (CRM) tools, is well-versed in the art of localization. By integrating DeepL's cutting-edge AI translation into its localization workflow, HubSpot has scaled its efforts to deliver high-quality, multilingual content faster than ever before. In this blog post, we'll explore how HubSpot leveled up its localization strategy and stayed ahead of global competition by running DeepL under the hood.  

The localization challenge: juggling languages and ever-changing content 

illustration showing translation process and content localization for international markets

HubSpot owns and manages a staggering number of web assets, including landing pages, blog posts, and more. With more than 175,000 customers in 100 countries worldwide, HubSpot must provide accurate localization to meet the needs of its diverse customer base. As if the sheer volume of content wasn’t enough, there’s also the need for real-time updates in HubSpot’s 40+ supported languages to consider. 

To meet this challenge, HubSpot uses Mova, an internally developed system that acts as a central repository and combines the functionality of tools such as Slack, Jira, Figma, and Workato.  

With Mova, HubSpot can monitor its web assets in real time, making it easy for the company to quickly identify those that need localization and set up automated workflows. The key to HubSpot's excellent localization quality, however, lies in its use of state-of-the-art machine translation services like DeepL and ModernMT.  

Automation and AI translation make for smooth sailing 

Thanks to advanced neural networks and AI translation technology, DeepL’s translations are highly accurate and natural-sounding—meaning HubSpot can translate its web assets with precision and confidence. 

In fact, with Mova's integration of DeepL, HubSpot can translate assets one at a time or set up an automatic translation process, triggered when changes are made in the original language. 

With DeepL, HubSpot has scaled its localization efforts and now publishes multilingual content faster than ever. This efficient automation reduces the workload for its localization team, allowing them to focus on more critical tasks.  

Moreover, HubSpot can optimize its localization workflows based on asset performance. Popular blog posts, for example, can be assigned a workflow that includes human review alongside machine translation, ensuring the highest quality where it matters most. 

 

The experts have spoken: technological solutions are pivotal  

Illustration of a document showing content localization reaching international audiences in a global market

HubSpot’s localization efforts are extensive and effective. While several factors contribute to its success, according to Dierk Runne, HubSpot’s Senior Manager of Localization and Systems, technological literacy plays a large role: 

“Having technological literacy and the capability to come up with technological solutions for the challenges that you and your stakeholders face is pivotal for internal localization teams. You will also need the capability to implement these solutions, but that doesn’t necessarily mean you’ll need dedicated engineering headcount. There are other options like outsourcing or low-code/no-code solutions, depending on your needs.” 

Additionally, Dierk recommends working closely with other teams' stakeholders and sharing localization knowledge to drive further value and enablement.  

Want to discover localization best practices for your company? 

HubSpot's use of DeepL in its localization workflow has helped this CRM giant meet the unique demands of its global customer base. By harnessing the power of AI-powered machine translation, HubSpot has successfully scaled its localization efforts—delivering high-quality multilingual content and optimizing resources.  

As businesses expand globally, the use of AI machine translation services like DeepL will undoubtedly play a role in bridging communication barriers and fostering meaningful connections with customers. To learn more about the importance of machine translation in international marketing, download our report today. 

Glossaries: an efficient and cost-effective way to stay consistent

Update: it's official—the DeepL glossary is now available in Korean! Since its launch in 2023, there's been a strong demand for Korean to be added to the glossary. 

We're excited to help even more global teams scale efficiently and maintain consistency. Plus, keep an eye out for additional DeepL glossary languages in the coming months.


Back in May 2022, we explored how to create glossary entries to ensure that words and phrases are always translated in your preferred way. Since then, we've leveled up this feature with shared glossaries and the implementation of 60+ glossary language combinations between:

  • English
  • Spanish
  • German
  • Japanese
  • French
  • Italian
  • Polish
  • Dutch
  • Portuguese
  • Chinese
  • Russian
  • Korean

This means that you can create custom glossaries using any combination of the above languages. Whether your company needs English and Chinese, French and Polish, or Japanese and German (the list goes on), DeepL has you covered. Here we’ll explore how the glossary feature's latest improvements can specifically help businesses grow their enterprise, consolidate internal and external communication, and increase team productivity.

Why should businesses use translation glossaries?

Glossaries ensure consistency in messaging across multiple languages. For multinational companies, standardizing terms such as technical jargon, product names, or product documentation keeps everyone—clients, customers, and team members—on the same page, even when translating text to other languages. This also helps to reduce costs and time lost with manual editing.

We’ve recently introduced shared glossaries for users with a DeepL Pro for Business subscription. This means team members can create their own glossaries and then share those with other colleagues or their entire team—increasing collaboration and translation efficiency all at once.

How can you create effective glossaries?

Glossaries help ensure translation consistency by tailoring and standardizing the output of specific words and phrases. To create an effective DeepL glossary for your team, it’s essential to consistently update it with the latest company terminologies. 

This involves adding entries for new products and services or removing or amending entries when they are discontinued. By doing so, you can make sure that your translations are always up to date and minimize having to manually edit internal and external communications. 

When team members use the shared glossaries feature, they can all access the same predefined glossary entries. This guarantees that everyone translates specific words and phrases uniformly, regardless of who is doing the translation.

The glossary UI depicts an entry for Legal Terms with the source text as English and the target text as German. The English acronym "GDPR" is then set to always translate to DSGVO in German. On the top right a cursor toggles the button "Share with team" so colleagues can use this same entry as well.

How can you use the glossary with DeepL products?

The glossary feature can be used as a part of a subscription plan (Starter, Advanced, or Ultimate) as well as with the DeepL API.  

With a subscription plan you can:

  • Use glossaries for text translation on the web translator and desktop apps 
  • Apply glossary specifications to document translations in the desktop app—which preserves the original formatting 

With the API you can:

  • Standardize translations across your website  
  • Integrate glossary specifications into your company’s internal tools and platforms 

How global companies leverage glossaries

Global companies use the DeepL glossary to ensure consistency throughout their communication.

For example, Deutsche Bahn, Germany’s national railway company—and the largest railway operator in Europe—uses the DeepL glossary feature to maintain translation consistency for its 320,000 employees worldwide. This is especially important for train conductors and station employees who must communicate across languages for safety and scheduling purposes. 

The glossary feature is also highly used by organizations in the legal industry, where translation errors and inconsistencies can have immense consequences. DeepL's AI is consistently trained using official EU documents, allowing it to accurately translate intricate linguistic nuances in complex legal texts.

Glossary and your organization

Maintaining consistent messaging helps keep growing teams on the same page. It also ensures that prospective customers develop a clear understanding of your business and how you can alleviate their pain points. If you'd like to refine your company's messaging using DeepL Pro, get in touch with our Sales team. You can also learn more about the glossary feature in our Help Center.

DeepL completes SOC 2 Type II report, further enhancing security and confidentiality

What you need to know about SOC 2 Type 2 reports and DeepL:

  • A SOC 2 Type II report evaluates a company’s information systems regarding security, availability, confidentiality, processing integrity, and privacy
  • This report illustrates DeepL’s continued dedication to world-class data protection and security
  • DeepL’s full SOC 2 Type II report can be accessed via request here


Does your company have specific security requirements for all the tools and vendors it works with? If you answered yes, good—you should. From GDPR to ISO 27001, there are many important data security and privacy measures you need to take into consideration.

On that note, we have great news. DeepL now has another qualification to add to its growing list: the SOC 2 Type II report. This extensive auditing procedure provides the proof that security-conscious organizations need when choosing which tools and service providers to work with.

Want to learn more about what this is, why it’s important, and how you can access DeepL’s report? Read on.

What is a SOC 2 Type II report?

an illustration of the Soc 2 type 2 five trust service principles

The Service and Organization Controls (SOC) 2 Type II report was ​​developed by the American Institute of Certified Public Accountants (AICPA), based on the Trust Services Criteria (TSC), as a way to define proper customer data management. 

The purpose of the SOC 2 report is to evaluate information systems of a company or organization based on five “trust service principles”, which are:

  • Security: this is a critical principle for all companies or organizations that deal with sensitive or confidential information. For DeepL, this means that we put controls in place to protect against theft, unauthorized access, or destruction of our systems and data.
  • Availability: this principle is vital for companies that rely on their systems and data to conduct their day-to-day business operations. At DeepL, this means we use controls to maintain the consistent availability of all our systems and data. 
  • Processing integrity: critical for organizations that rely on accurate data to make business decisions, meeting this principle requires controls be put in place to ensure the accuracy and completeness of data processing.  
  • Confidentiality: this principle is necessary for organizations that handle sensitive data and information. At DeepL, it means we introduce controls to safeguard the confidentiality of our systems and data. For example, the SOC 2 Type II audit verified that we never store any DeepL Pro translation data—effectively maintaining the full confidentiality of users’ data.
  • Privacy: this principle is critical for organizations that collect, process, or store personal information, and refers to controls put in place to protect the privacy of personal data.

According to Maximilian Ehrlich, DeepL’s Information Security Officer, it’s important to note that “each SOC 2 Type II report is unique to the organization and, therefore, reflects its own designed controls in accordance with its business objectives, risks, and adherence to the trust service criteria.” 

As the SOC 2 Type II report provides critical information on how customer data is managed, it must be issued by an outside auditor. It’s the job of this auditor to assess how well the company or organization in question is complying with the five trust principles defined above.

How is a SOC 2 Type II report different from a Type I report?

If there’s a SOC 2 Type II report, there has to be a Type I, right? Indeed, there is—and there are some important distinctions between the two. 

The main difference between the Type I and the Type II report is that the Type I describes the existing controls of a company. On the other hand, the Type II requires that an independent auditor checks the described controls.  

According to Ehrlich, the Type II report proves that “the predefined policies and procedures have been successfully followed for a reporting period of 12 months", which is verified by a third party. Therefore, the Type II report serves as a much stronger testament to existing security controls than a Type I report. 

Why are SOC 2 Type II reports important?

While not every company requires their partners and service providers to have passed their SOC 2 Type II report, the most security-minded organizations do.

Successfully completing the SOC 2 Type II audit is a rigorous, extensive undertaking. Thus, having this report is a clear sign to all potential partners, suppliers, and clients that your company prioritizes data security and privacy—and you’ve put in the work to prove it. 

At DeepL, data security, privacy, and data protection are of the utmost importance—which is why we’re so pleased to share that DeepL has passed its independent SOC 2 Type II audit of its Pro service, conducted by a Certified Public Accountant (CPA).

Here, Ehrlich perfectly captures DeepL’s shared sentiment, stating: “We are proud to announce our SOC 2 Type II report as further evidence of DeepL’s commitment to security and validation of our security measures."

Want to read DeepL’s SOC 2 Type II report?

DeepL's SOC 2 type 2 (service organization controls) report cover

Of course, we’re happy to share DeepL’s audit verdict and the final report:

And if you’d like to learn more about how we protect customer data at DeepL, you can peruse our data security page or check out our data protection deep dive.

How to choose the best machine translation tool for your business

What you need to know about choosing machine translation software: 

  • Choosing the right machine translation tool is vital to a strong localization strategy 
  • Important considerations include data security and document format handling  
  • The right AI translation tool can improve ROI and increase localization cost efficiency 
  • Discover translation and localization best practices by downloading our report  


How many languages does your company operate in? Probably quite a few. As the global marketplace becomes increasingly interlinked, communicating in multiple languages is a necessity for businesses to thrive. This is where translation and localization come in, allowing companies to authentically connect.  

However, 87% of marketers from our recent study stated that having to translate content into multiple languages can be both costly and difficult. Cue machine translation—which makes a big difference by offering an accurate, efficient, and cost-effective method to localize companies' content. But choosing the right machine translation vendor is not a decision to be taken lightly, as it can have a significant impact on your company's localization strategy and overall workflow.  

In this blog post, we’ll explore some of the key considerations when selecting the best machine translation tool for your organization. Remember, with the right choice, your business not only benefits from accurate translations, but also from a seamless, secure, and efficient localization process.  

What should you consider when choosing a machine translation service?  

Illustration of machine translation services imagery, documents, a lock, and a laptop in heaxagons

With the help of Regina Corso Consulting, DeepL recently conducted a survey of marketers in the United States, France, Germany, and Japan—specifically targeting those responsible for translation and localization. With the results of this survey, we created the report: The state of translation and localization in 2023-2024: insights, challenges, and opportunities.   

Thanks to this research, we discovered a host of helpful insights. For example, 75% of respondents agreed that localized content significantly boosts customer engagement—while a staggering 96% reported positive ROI (return on investment) from localization efforts.   

Clearly, localization has a significant business impact—meaning that selecting the right machine translation software is critical. According to our research, the most important considerations include:  

  1. Document format handling: 23% of respondents noted the importance of a vendor's ability to handle various document formats, such as XML, HTML, etc.  
  2. Data security: 20% of respondents highlighted the critical role data security plays in the selection process. Clearly, how companies ensure the protection and privacy of their and their customers' sensitive information—think data encryption, ISO 27001-certified data centers, and GDPR regulations—is important. 
  3. API offerings: 20% of marketers surveyed indicated that the availability of an application programming interface (API) is an important consideration. After all, APIs are ideal for integrating translation services into existing workflows, streamlining operations, and improving efficiency. 

Interestingly, 80% of respondents work in the technology industry. This may indicate that the importance of the above considerations is impacted by the specific needs of tech companies, where document translation, data security, and API availability play a greater role.  

How are companies working with machine translation vendors?  

There’s more than one way to work with—and benefit from—a machine translation tool. Our survey revealed three different approaches that marketers are using to work with machine translation vendors:   

  • 44% work with a technology partner who uses the vendor 
  • 33% partner with an agency that employs the vendor's services 
  • 23% contract directly with the vendor 

How do these options affect your business? 

Illustration showing machine translation technology choices with layered web pages and arrows

Our findings surrounding the use of machine translation suggest a trend toward collaboration, with most marketers opting to team up with experts. With this in mind, businesses should consider the benefits of using a technology partner/agency versus contracting directly with a machine translation vendor. 

On the one hand, opting for a technology partner or agency allows companies to benefit from their expertise and existing relationships with vendors. On the other hand, working directly with vendors is a better choice for those seeking increased control over the translation process and a more cost-effective solution.  

For this option, DeepL is an ideal choice—as its accurate, efficient AI translations help to streamline the localization process. 

Want a deep dive into translation and localization? 

Choosing the right machine translation vendor is just one step in the translation and localization journey. With the help of the right tool, your company can streamline localization workflows and operate more efficiently. 

To learn more about translation and localization best practices and how AI translation tools play a role in enterprise localization success, download our report today. 

DeepL Translator welcomes Arabic

What you need to know about DeepL’s latest language release:

  • We’ve added Arabic to the web translator, and the desktop and mobile apps—with further platform releases to come
  • Arabic is DeepL’s first language release written and read right-to-left
  • The launch of Arabic is poised to help millions of businesses standardize their communication and go global.

!مرحباً (Welcome!)

We’ve officially added Arabic to DeepL Translator. The 5th most spoken language in the world, Arabic has been one of our users’ most requested languages. This launch provides millions of companies in all industries, whose primary language is Arabic, with the opportunity to go global and standardize communication across borders.

While there are many spoken dialects across the Arab world, Modern Standard Arabic (MSA), or Fus’ha (اللغة العربية الفصحى), is the official written form of Arabic and is used in all official communication within governments, organizations, academia, literature, print and mass media, and law. Notably, Arabic is the first language DeepL has launched that is written and read from right-to-left—and represents a significant technical achievement in the development of the translator.

We've launched Arabic first on our web translator and mobile and desktop apps, with browser extensions and the API capability soon to follow. Document translation, formality options, and glossary capability will be released at a later date. We’ll also continue to localize our right-to-left UI for Arabic-speaking users. With this addition, we’re excited to open access to DeepL to more than 400 million Arabic speakers around the world. As always, DeepL’s development of neural network technology is leading the way in producing nuanced and natural-sounding translations.

Want to start translating in Arabic? Head over to DeepL Translator!

Navigating the challenges of content localization in 2023-2024: industry insights and practical solutions

What you'll learn in this summary of our localization report: 

  • Why translating and localizing content is a sound investment 
  • How localization increases important metrics like customer engagement 
  • How DeepL’s AI translation can help streamline your company’s localization process 


Localization—not to be confused with translation—is the practice of adapting products or content to local languages and cultures. Essential for businesses looking to expand their global reach, content localization allows companies to reach consumers where they’re most comfortable: in their native language.  

Recently, DeepL partnered with Regina Corso Consulting to survey marketers in France, Germany, Japan, and the United States who are responsible for translation and localization at their companies. Using the results of this survey, we created the report, The state of translation and localization in 2023-2024: insights, challenges, and opportunities.  

In this blog post, we’ll summarize some of the survey’s key findings and explore why localization is one of the most important investments for global companies. Then, to learn why DeepL’s AI translation tool is the ideal helper to speed up localization processes, you can access our full report

The survey: objectives and scope 

illustration showing a content localization strategy with a page and bar graphs

 

The study—targeted at director-level marketers in companies with over 100 employees—had three main objectives:  

  1. To learn more about how these marketers approach translation and localization at their companies 
  2. Find out if they use machine translation and AI-writing tools in their workflows 
  3. Understand the challenges they most commonly encounter 

Below, you’ll find a selection of the main insights that we uncovered. 

The ROI of localization 

For businesses to succeed in international markets and drive growth, they need to create multilingual content—which is why localization plays such an important role in global expansion.  

For this report, we wanted to find out, more specifically, how localized content impacts return on investment (ROI). Here’s what we discovered: 

Key insight: An overwhelming 96% of respondents reported a positive ROI from localization efforts, and notably, 65% reported an ROI of 3x or greater. 

Why it matters: For companies that aren’t sure if they should allocate resources to localization, these figures offer compelling evidence to do so. 

The rise of AI in content creation 

Illustration showing how AI content creation helps businesses connect with the right target market

 

AI’s role in content generation has been expanding over the past months. An interesting trend that’s reshaping the localization process, we wanted to know how prevalent the use of AI tools is with today’s marketers.  

Key insight: AI-assisted writing tools are used by 77% of respondents, and machine translation by an astonishing 98%. 

Why it matters: This isn't a passing trend; it’s the new standard. Businesses slow to adapt risk being overshadowed by those who have integrated these technologies into their localization efforts. 

Increasing engagement through localization 

Many marketers wonder if investing in localization is worth the time and effort. What tangible benefits does it boast for businesses to localize new and existing content? 

Well, according to our research, increased customer engagement is high on the list.  

Key insight: 75% of respondents agreed that localized content significantly boosts customer engagement. 

Why it matters: Engaged customers are more likely to become repeat customers, refer your business, and spend more money on products and services. 

The value of human oversight 

Illustration of a magnifying glass showing translation and localization tools that help communicate with a target audience

Even as AI tools become more advanced, human involvement will remain an integral part of a successful content localization strategy. Machine translation isn’t perfect, and a human-in-the-loop approach is the key to success.    Incorporating human review allows companies to ensure all content adheres to their style and quality guidelines. 

Key insight: 99% of respondents supplement machine translation with human review. 

Why it matters: This underscores the need for a balanced approach that incorporates both technological and human expertise for high-quality outcomes. 

The strengths and weaknesses of machine translation 

While machine translation can speed up the localization process, it still has some weak spots to keep in mind. 

Key insight: A significant 82% expressed concerns about accurately translating industry-specific terms. 

Why it matters: For industry-specific jargon and vocabulary, companies should consider training custom machine translation models or selecting a machine translator that comes with a glossary feature. 

Learn how to streamline your content localization process with DeepL 

These are just a few of the many insights you can expect from The state of translation and localization in 2023-2024 report. It's the ideal resource for anyone interested in:   

  • Content localization best practices from industry experts at companies like HubSpot and Phrase  
  • Solutions to common localization and translation challenges  
  • Recommendations on selecting the right machine translation vendor   
  • And much more!  

For fast, accurate, and secure AI translations to speed up your localization projects, DeepL is the best solution around. Ready to take the first step towards transforming translation and localization at your company?  

Download the full report now for free and learn how DeepL can help streamline your localization processes. 

DeepL Pro is launching in 25 new markets

What you need to know about this massive DeepL Pro expansion: 

  • DeepL Pro is now available for purchase in 25 additional markets across Africa, Asia-Pacific (APAC), Central America, Europe, and South America 
  • DeepL Pro’s advanced translation features open up vast opportunities for businesses to go global faster than ever before 
  • As AI implementation grows across industries, DeepL provides the best-in-class translation solutions that maximize business potential   
  • DeepL is built upon a security-first framework, so Pro users can communicate confidently and accurately without sacrificing their data   

We’re thrilled to announce a massive expansion of our subscription service DeepL Pro. Now available in 25 additional markets, DeepL Pro unlocks vast business potential for companies of all sizes and industries on a global scale. This expansion continues to advance our mission to break down communication barriers worldwide and to put the best possible AI in the hands of businesses everywhere. 

In addition to world-class translation accuracy, DeepL Pro users receive unlimited text translation, top-notch data security, expanded customization options, and more. Our translations even take into account sector-specific terminology, further curating brand messaging at an industry level. 

What are the 25 new DeepL Pro markets? 

We’re excited to now offer DeepL Pro to the following markets:

  • Argentina 
  • Australia 
  • Chile 
  • Colombia 
  • Costa Rica 
  • Cote d’Ivoire 
  • Ecuador 
  • Hong Kong 
  • India 
  • Indonesia 
  • Israel 
  • Malaysia 
  • Morocco 
  • New Zealand 
  • Norway 
  • Paraguay 
  • Peru 
  • Philippines 
  • Saudi Arabia 
  • Taiwan 
  • Thailand 
  • Türkiye 
  • United Arab Emirates 
  • Uruguay 
  • Vietnam 

With more and more businesses implementing AI into their workflows, DeepL Pro offers a state-of-the-art AI translation service built upon the advanced AI technology that's made us a leader in the field. 

Which DeepL Pro features give your business a global edge? 

DeepL Pro is designed with businesses in mind, with features that save time and costs while boosting efficiency and productivity. From small and medium-sized businesses to global corporations, advanced translation features can help any organization reach new markets and customers. 

  • Maximum data security: DeepL follows world-class data protection measures to guarantee your business’s safety. All text is deleted from DeepL-operated servers after the translation is completed—and no customer text is ever passed to third parties or used as AI training data. 
  • Unlimited text translation: Businesses need to translate a high volume of characters, and DeepL Pro meets this demand with unlimited text translation. 
  • Advanced document translation options: Translate whole PDF, Word, Excel, PowerPoint, text, or HTML files while preserving the original formatting. 
  • Greater customization: Maintain brand consistency and standardize internal and external messaging with more translation customization options. 
  • Integrate DeepL API: With a DeepL API Pro subscription, businesses can translate their websites, apps, and internal tools and products—with just a few clicks.   

Looking to take your enterprise to the next level?  

Is your business located in one of our newest DeepL Pro countries and looking to expand on a global level? Find the best plan for your team over at the DeepL Pro page and get started today. 

Unlock the power of AI for law: five revolutionary tools for the legal profession

What you need to know about: 

  • Choosing best AI tools for legal professionals 
  • How to find a secure tool and why it matters 
  • Useful features for law practice 

If you work in the legal industry, you’ve probably been eyeing the most recent wave of AI adoption with a mixture of interest and apprehension. Are you anticipating (or dreading) the slew of lawsuits that are sure to arise from AI use and misuse? Or wondering how AI will impact your own daily work? Ultimately, as technology evolves, the law needs to keep pace—and with it, legal professionals.    

Whatever your view on AI, it’s here to stay. In this article, we’ll explore five of the most game-changing AI tools transforming the legal profession and how they can benefit your law firm. If you’re not using these tools already, we can guarantee that your competition is!     We'll also fill you in on how to vet AI tools suitable for the practice of law and let you know which AI features are most useful for lawyers today.

Tedium ad nauseam: Why law firms are adopting AI

Illustration of several documents on a blue background. DeepL translation helps lawyers save time by translating documents instantly.

Not even the often traditionalist field of law is immune to the rise of artificial intelligence. In fact, AI is already becoming a linchpin in the legal field, allowing lawyers to work more efficiently and provide better service to their clients.

AI-based tools can help law firms stay competitive in a constantly evolving global market. Dr. Axel Freiherr von dem Bussche, LL.M. (L.S.E.), CIPP/E, Partner at Taylor Wessing, weighs in:  

Using AI and technology-enabled tools in the legal sector is becoming increasingly important to remain competitive and improve efficiency. These tools can assist lawyers with legal research, document review, and contract analysis and translation, freeing up time for more complex and strategic work. They can also provide valuable insights and help lawyers make more informed decisions, leading to better client outcomes.

The bottom line for many lawyers? AI tools can take over some of the mundane and tedious tasks legal professionals dread, freeing up time for more high-value work (and removing a few headaches along the way.)  

Let’s take a closer look.  

Five powerful AI technologies for legal professionals 

Scales holding two sides of DeepL’s translator tool to illustrate the importance of accurate translation in the legal profession.

1. AI-powered translation  

The legal industry is already complex, but when you add international clients and colleagues to the mix, things can get even more complicated. Practicing international law requires an understanding of diverse legal systems and cultures, as well as the ability to keep up with constantly evolving laws and regulations. This can be particularly challenging when there's a language barrier. 

As the legal industry continues to become more globalized, law firms are working with an increasing number of international clients. According to a Maia Research report on legal translation software, there is a growing demand for legal translation services, which is currently experiencing 13-15% year-on-year growth. 

With AI translation, legal teams can: 

✅ Translate legal documents faster 
  • Translate legal documents such as contracts, briefs, and court filings for clients  
  • Quickly create bilingual or foreign-language contracts (legally operable) 
  • Save time and resources with accurate and consistent translations  
✅ Communicate smoothly with international teams and clients 
  • Clarify legal terms and give legal advice via email   
  • Submit cases in foreign languages to local authorities (legally operable)  
✅ Research foreign laws and regulations
  • Understand and comply with legal requirements in different countries  
  • Build a foundation as a global player in the market  
✅ Provide multilingual legal advice 
  • Serve clients who speak different languages  
  • Improve client satisfaction and loyalty  
✅ Ensure consistency of legal translations across the organization 
  • Use custom glossaries to save editing time and guarantee consistency in official communication across multiple languages  
Illustration showing a contract translated into several languages on a pale yellow background. Contract translation is one use case of DeepL for lawyers.

AI-powered translation tools are useful for providing legally operable translations, such as bilingual contracts, and convenience translations like client communications. However, it's important to note that AI translation shouldn't completely replace human translators. Some official documents require certified or notarized translations that can only be provided by a certified human translator.   

For example, when a client is applying for citizenship in a foreign country, they often need to provide a certified translation of their birth certificate and other identification documents. To ensure accuracy, "human-in-the-loop" workflows are crucial to approve AI-generated translations. According to Gartner, solutions that combine staffing and software will account for 30% of all new legal tech automation offerings through 2025. 

2. AI-powered knowledge management systems 

AI-powered knowledge management systems have revolutionized the legal industry, giving lawyers lightning-fast access to critical information. With these powerful tools, legal professionals can quickly search through vast amounts of data, identify patterns in legal documents, and stay on top of changes in laws and regulations. Best of all, these systems automate tedious processes such as document categorization, saving valuable time and increasing productivity.   

Not surprisingly, the use of AI-powered knowledge management systems is on the rise among legal professionals.  

3. AI contract analysis and management 

One of the key areas where AI is making an impact on legal work today is in contract analysis and management. These tools automate mundane tasks such as document review or tracking deadlines for signed agreements. Lawyers can use AI-driven systems to quickly review contracts and identify potential issues, such as risks associated with certain clauses. These systems also store contracts centrally, making them more accessible and automating error notifications. 

AI-enabled contract management tools also provide insights into past cases to help minimize disputes arising from noncompliance with laws or regulations. Natural language processing algorithms are used to detect discrepancies in existing contracts and to suggest ways to mitigate risks. This helps law firms ensure they provide the best service to their clients while remaining competitive in the market. 

4. Generative AI for document creation 

In the legal field, generative AI is offering a new level of efficiency for document creation. This process entails using AI algorithms to generate documents from templates and structured data sets, as well as analyzing contracts for potential risks or discrepancies. By automating these tedious tasks, lawyers can save time and money while helping their firm remain competitive in the world of advancing AI. 

AI-powered document creation also helps reduce errors and spot mistakes quickly—allowing attorneys to better protect their clients' interests during negotiations by identifying potential issues before they become problems down the line. As a result, lawyers can provide more personalized services that meet their clients' needs faster than ever before. 

5. Chatbots for client intake 

Chatbots are a valuable first point of contact in the client intake process. AI-powered chatbots provide general advice to clients and understand complex questions using natural language processing, directing clients to the information they need instantly. 

Chatbots offer 24/7 availability, quickly answering inquiries and FAQs, reducing wait times, and enabling staff members to focus on more detailed queries. Using AI-powered chatbot technology saves time and resources while providing better customer service.

A word to the wise: safe and ethical AI use 

However helpful these tools may be, implementing AI technologies isn't to be taken lightly, as there are certain risks associated with using AI. It's important for firms to understand the implications of deploying AI technologies and make sure that the technology is implemented responsibly. This means establishing protocols regarding data privacy and security when dealing with confidential client data.

Firms should also consider how to use AI responsibly and ethically, such as taking steps to audit machine learning models for bias or instituting a policy that requires the use of AI to be monitored and supervised by a human.

How to evaluate the security of AI tools for the legal sector

A document with a signature and stamp, with the DeepL logo in the forefront, displaying the security of DeepL’s AI translation tool.

Lawyers must be aware of the evolving legal requirements for AI to give sound counsel regarding its use and to guarantee that the tools they use in their work are foolproof.

Here are some security hallmarks to look out for:

GDPR compliance  

The General Data Protection Regulation is a stringent security and privacy regulation. It affects businesses that pursue or store data pertaining to people situated in the European Union. Artificial intelligence that abides by the GDPR requirements can be relied on to honor and safeguard confidential information.

Encryption  

Data encryption scrambles information to create a code that can only be unlocked using an individual password or key. This makes it far more difficult for any unauthorized individuals to access the data. Regulations like GDPR demand that encryption is used to ensure personal information is kept secure.

SSO and/or 2FA 

Single sign-on (SSO) allows users to access various programs and systems with only one set of credentials, eliminating the worry of weak passwords or forgotten login details. This not only saves time, but also helps to secure confidential data from unauthorized access.  

Two-factor authentication (2FA) adds an extra layer of security by requiring users to provide two forms of authentication, such as a password and a verification code sent to their phone, before accessing their accounts. This reduces the risk of account takeover and prevents unauthorized access to confidential information.

ISO 27001 certification

ISO 27001 is an international standard that helps businesses manage the security of their information systems. By partnering with an ISO 27001-certified provider, law firms can better protect their data and guarantee a high level of security. 

Valuable software features for legal professionals

Customer research carried out by DeepL in 2023 identified these features as particularly helpful for law firms.

✅ Integrations 

Does the AI tool integrate where the team is already working? 

✅ Onboarding 

How easy is it to start using this tool? How much time will it take to implement?

✅ Customization   

Is the AI trainable? Does it save and store data to customize the user experience?


How is your law practice approaching safe AI use? Is your legal team working internationally? Learn how DeepL’s secure AI translation technology can help your law firm by visiting DeepL for legal teams.